CN105095214A - Method and device for information recommendation based on motion identification - Google Patents
Method and device for information recommendation based on motion identification Download PDFInfo
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Abstract
The embodiment of the invention provides a method for information recommendation based on motion identification. The method comprises following steps: acquiring information associated with motion; identifying a motion type of a user based on information associated with motion; and recommending information to the user based on information associated with motion and the motion type.The invention further provides a device for information recommendation based on motion identification.By adoption of the above mode, the motion type can be identified based on multi-modal motion data of sensors and motion information of communication data of the user.According to the technical scheme, the method and device for information recommendation based on motion identification have following beneficial effects: a personalized identification library with the self-learning capability can be set up in order to further improve accuracy of identification of the motion type; and based on user features of the personalized identification library, targeted diversified information is recommended to the user.
Description
Technical field
The present invention relates to technical field of information recommendation, specifically, the present invention relates to and identify based on motion the method and the device that carry out information recommendation.
Background technology
In recent years, along with the develop rapidly of electronic industry and the communication technology, the new business development based on data, speech, video is swift and violent.The fast development of microelectric technique, computer hardware technique, the work become increasingly complex for terminal device process lays the foundation, for terminal device personalization provide realize may, terminal is broken away from the to a certain extent restriction of network, can possess function from strength to strength.In addition, user itself also has urgent demand to terminal, wish termination function more powerful, more flexibly, simpler and more direct.The development of infotech, makes terminal technology move towards intellectuality, mobile, multifunction.
At present, motion recognition technology is divided into two large classes, and a class is based on image recognition, as: the Kinect of Microsoft or the Move etc. of Sony, utilize the sensor of human peripheral's fixed placement, the movement locus of perception trunk and four limbs, thus identification is such as raised one's hand or the motions such as upper limbs of flapping.But this type games recognition technology identification scene is limited, can only identify human action, cannot the feature such as perception heart rate, pulse, and also cannot move with identification main body.
The another kind of portable sensor carried with based on human body, due to the limitation of portable sensor itself and algorithm, most of portable sensor can only provide exercise data monitoring technology, as: Nike+, NikeFuelband, Fitbit or thud net bracelet etc., can the data such as the move distance of recording user and the heat of consumption, but the kind of None-identified motion.
At present, the recommend method for motion is less, and the pattern of recommendation is simpler.With regard to general recommend method, content-based, collaborative filtering and association rule mining three major types can be divided into.Each method particular content is as follows:
Content-based recommendation, recommends some contents similar to the project that user had selected of user.Such as, when user is at Online Book Shopping, always buy and history-sensitive books, so content-based recommendation will recommend the books of the history aspect of some hot topics to user.
Based on the recommendation of collaborative filtering, some sample the content that other similar users like to user to recommend user.Such as, when user buys clothes on the net, based on the recommendation of collaborative filtering, according to the history purchaser record of user or record can be browsed, analyze the grade of wearing the clothes of user, and find and sample some similar users to this user, the clothes information recommendation they browsed and buy gives this user.
Based on the recommendation of association rule mining, recommend some contents adopting associated rule discovery algorithm to calculate of user.The discovery algorithm of correlation rule comprises Apriori, AprioriTid, DHP and FP-tree etc.Its core looks for frequent item set for using candidate.
Wherein, also in conjunction with above-mentioned each recommend method, a more comprehensively recommendation results can be obtained, recommends to user.The interest preference of synthetic user, attribute, the attribute of commodity, content, classification, and the social networks etc. between user, the hobby of digging user and demand, recommend its commodity that are interested or that need to user.
Identify different type of sports, motion is recommended to have important effect, as: take a walk, to jog and by bike, the hobby of different its implementers of type of sports is also different.
Along with the raising of intelligent terminal computing power and the integrated of sensor, some simple type of sports can be distinguished.Be mainly manifested in, what be limited to that portable sensor simply constructs with perception information is not meticulous, and available portable sensor is less, usually utilizes acceleration transducer and direction sensor, according to the difference in vibration amplitude and direction, distinguish the simple motions such as stroll, running, stair climbing.For the motion that some are complicated or close, existing motion recognition technology then cannot be distinguished.
Existing motion recognition technology, the sorting algorithm adopted in machine learning more, but such algorithm needs a large amount of training datas, just can provide higher classification performance.Can manual construction training data, take time and effort, increase cost.
Existing motion recognition technology, the difference of as broad as long individuality, causes recognition result meeting out of true.As the running of the elderly and walking of young people, sensor information then relatively.
Because existing motion recognition technology None-identified goes out hobby of moving really, cause recommendation of can not moving accurately.And existing motion is recommended also to be only provide some wide in range recommendations according to current geographic position, how less consideration carries out necessary recommendation for identified motion.For isomeric data, existing recommend method cannot process, and existing recommend method can only recommend an intermediate item, cannot process the relation between multiple project.
Therefore, be necessary to propose a kind of technical scheme, the identification types solving existing motion recognition technology be too simple, recognition result is accurate not, and motion recommend single, without specific aim, the problem of the true needs of user can not be met.
Summary of the invention
Object of the present invention is intended at least solve one of above-mentioned technological deficiency, particularly based on the movable information in multi-modal sensor movement data and user communication data, identifies type of sports, and then recommends pointed diversified information to user.
On the one hand, embodiment of the present invention provides a kind of and identifies the method for carrying out information recommendation based on motion, comprises step: the motion association information obtaining user; According to described motion association information, identify the type of sports of described user; Based on described motion association information and described type of sports, to described user's recommendation information.
On the other hand, embodiment of the present invention provides a kind of and identifies the device carrying out information recommendation based on motion, comprising: acquisition module, for obtaining the motion association information of user; Identification module, for according to described motion association information, identifies the type of sports of described user; Recommending module, for based on described motion association information and described type of sports, to described user's recommendation information.
The such scheme that the present invention proposes, based on the movable information in multi-modal sensor movement data and user communication data, can identify type of sports; Thereafter, based on the motion association information identified and type of sports, recommend pointed diversified information to user.
The aspect that the present invention adds and advantage will part provide in the following description, and these will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
The present invention above-mentioned and/or additional aspect and advantage will become obvious and easy understand from the following description of the accompanying drawings of embodiments, wherein:
Fig. 1 the present invention is based on motion to identify the schematic flow sheet carrying out a kind of embodiment of method of information recommendation;
Fig. 2 is the diagram form of isomeric data relationship modeling of the present invention;
Fig. 3 is the matrix form of isomeric data relationship modeling of the present invention;
Fig. 4 the present invention is based on motion to identify the block diagram carrying out a kind of specific embodiment of method of information recommendation;
Fig. 5 the present invention is based on motion to identify the structural representation carrying out a kind of embodiment of device of information recommendation;
Fig. 6 the present invention is based on the structural representation that motion identifies the another kind of embodiment of the device carrying out information recommendation.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the embodiment be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.
Those skilled in the art of the present technique are appreciated that unless expressly stated, and singulative used herein " ", " one ", " described " and " being somebody's turn to do " also can comprise plural form.Should be further understood that, the wording used in instructions of the present invention " comprises " and refers to there is described feature, integer, step, operation, element and/or assembly, but does not get rid of and exist or add other features one or more, integer, step, operation, element, assembly and/or their group.Should be appreciated that, when we claim element to be " connected " or " coupling " to another element time, it can be directly connected or coupled to other elements, or also can there is intermediary element.In addition, " connection " used herein or " coupling " can comprise wireless connections or wirelessly to couple.Wording "and/or" used herein comprises one or more whole or arbitrary unit listing item be associated and all combinations.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, and all terms used herein (comprising technical term and scientific terminology), have the meaning identical with the general understanding of the those of ordinary skill in field belonging to the present invention.It should also be understood that, those terms defined in such as general dictionary, should be understood to that there is the meaning consistent with the meaning in the context of prior art, unless and by specific definitions as here, otherwise can not explain by idealized or too formal implication.
Those skilled in the art of the present technique are appreciated that, here used " terminal ", " terminal device " had both comprised the equipment of wireless signal receiver, it only possesses the equipment of the wireless signal receiver without emissive ability, comprise again the equipment receiving and launch hardware, it has and on bidirectional communication link, can carry out the reception of two-way communication and launch the equipment of hardware.This equipment can comprise: honeycomb or other communication facilitiess, its honeycomb or other communication facilities of having single line display or multi-line display or not having multi-line display; PCS (PersonalCommunicationsService, PCS Personal Communications System), it can combine voice, data processing, fax and/or its communication ability; PDA (PersonalDigitalAssistant, personal digital assistant), it can comprise radio frequency receiver, pager, the Internet/intranet access, web browser, notepad, calendar and/or GPS (GlobalPositioningSystem, GPS) receiver; Conventional laptop and/or palmtop computer or other equipment, it has and/or comprises the conventional laptop of radio frequency receiver and/or palmtop computer or other equipment.Here used " terminal ", " terminal device " can be portable, can transport, be arranged in the vehicles (aviation, sea-freight and/or land), or be suitable for and/or be configured at local runtime, and/or with distribution form, any other position operating in the earth and/or space is run.Here used " terminal ", " terminal device " can also be communication terminal, access terminals, music/video playback terminal, can be such as PDA, MID (MobileInternetDevice, mobile internet device) and/or there is the mobile phone of music/video playing function, also can be the equipment such as intelligent television, Set Top Box.
In order to realize object of the present invention, the embodiment of the present invention proposes a kind of method of carrying out information recommendation based on motion identification, comprises the following steps:
Obtain the motion association information of user; According to described motion association information, identify the type of sports of described user; Based on described motion association information and described type of sports, to described user's recommendation information.
The said method that the present invention proposes, based on the movable information in multi-modal sensor movement data and user communication data, can identify type of sports; Thereafter, based on the motion association information identified and type of sports, recommend pointed diversified information to user.
Should be appreciated that the technical scheme that the present invention proposes, can at terminal device in concrete realization, and/or server, and/or high in the clouds realizes.Namely, the function distribution of the technical scheme that the present invention proposes, can need to adjust according to the realization of reality, these adjustment all should be considered as not departing from the principle of the invention, and this accommodation should be considered as falling into protection scope of the present invention.In citing below, for the ease of understanding the present invention, few examples will to realize being illustrated on the terminal device.
As shown in Figure 1, identifying for the present invention is based on motion the schematic flow sheet carrying out a kind of embodiment of method of information recommendation, comprising the following steps:
S11, obtains the motion association information of user.
Terminal device, before user's recommendation information, needs the type of sports accurately identifying user.For identifying type of sports, first terminal device needs the motion association information obtaining user.Wherein, motion association information comprises following any one or two kinds:
A. by exercise data that sensor obtains.
In the present embodiment, sensor comprise following any one or multiple:
Accelerometer, direction sensor, three-axis gyroscope, range sensor, light sensor, triangle polyester fibre, GPS, altitudinal instrument, body temperature trans, heart rate sensor, blood pressure monitor.
The sensor can be distributed in the position such as neck, wrist portion, waist, lower limb of user, to identify that the action of human body different parts and human body are to the reaction of different motion.
In the present embodiment, sensor and terminal device wireless or wired mode can transmit data, and operative sensor accessible site is on terminal device.Terminal device can be the wearable device such as smart mobile phone or intelligent watch.
By polytype sensor, multi-modal information can be obtained, increase the ga s safety degree of various motion.Such as: take a walk, run, climb the mountain, by bike etc. motion distinguish by leg speed, four limbs shaking amplitude, heart rate, height above sea level and GPS information; The little ball game such as table tennis, tennis and shuttlecock, by data separations such as posture of swinging the bat, wrist vibration amplitude; The large ball game such as basketball, vollyball and football, by data separations such as four limbs shaking amplitudes; Aquatic sports utilizes the data separations such as hydraulic pressure; Indoor body-building utilizes the data separations such as GPS.
B. the movable information obtained from the communication data of user.
User before motion starts, motion in, motion after, may be shared by instant messaging or search for sports content, this type of information contribute to very much distinguish motion classification.
In the present embodiment, the movable information obtained from the communication data of user comprise following any one or multiple:
A. the movable information obtained from the voice messaging of user.
B. the movable information obtained from the Word message of user.
C. the movable information obtained from the pictorial information of user.
D. the movable information obtained from the theme that the network of user is accessed.
The theme of network access comprises on-line purchase information, as: article, time, expense, address etc.
The movable information obtained in communication data also comprises market shopping information, as: article, time, expense, trade company address etc.
Based on natural language processing technique, first the natural language of user is obtained, comprise the natural language in word, voice and picture and network access theme, the natural language of user need be converted into Word message, the information such as motion name, time, place, personage or motion emotion are extracted again, with the type of sports of auxiliary judgment user from Word message.
Above-mentioned natural language processing technique major function comprises extracts the information relevant to motion from Word message, specific as follows:
A. extract named entity, comprise name, place name, mechanism's name, time, date etc.The method that sequence labelling model Sum fanction template combines can be adopted.
B. extract sports category keyword, and correspond in respective classes.Due to freedom and the ambiguousness of natural language, cause same to move and have multiple expression, and same expresses possibility and expresses different implication.Adopt the problem of the vectorization of the meaning of a word and the method process language understanding of term clustering.
C. the extraction of emotion word, for judging the emotion of user, as: the moods such as pleasure, anger, sorrow, happiness.
S12, according to motion association information, identifies the type of sports of user.
In concrete practice, the identification of type of sports such as comprises following four kinds of different implementations:
A. terminal device is according to the movable information in the exercise data of sensor transmissions and/or user communication data, identifies the type of sports of user.
B. the movable information in the exercise data of sensor transmissions that obtained of terminal device and/or user communication data is sent to server, the identification of user movement type is carried out by server, after server identifies type of sports, recognition result is fed back to terminal device.
Wherein, the movable information in the exercise data of sensor transmissions and/or user communication data is combined with the global motion identification storehouse of himself by server, carries out accurate type of sports identification.
C. terminal device is according to the movable information in the exercise data of sensor transmissions and/or user communication data, the type of sports of preliminary identification user, and the type of sports tentatively identified is sent to server, server, in conjunction with the global motion identification storehouse of himself, carries out accurate type of sports identification.
Wherein, the result after server identification feeds back to terminal device equally.
D. terminal device receives the data in global motion identification storehouse from server, according to the data in global motion identification storehouse, analyzes the exercise data obtained by sensor and/or the movable information obtained from the communication data of user, identifies the type of sports of user.
For improving the accuracy identifying type of sports, the mode that movable information in the exercise data of usual employing sensor transmissions and communication data combines is to identify type of sports, carry out the exercise data of aiding sensors with the movable information in communication data, improve the reliability identifying type of sports.
The above, known type of sports recognition function can be realized in conjunction with server by terminal device, server or terminal device.As embodiments of the invention, the flow process shown in Fig. 1 comprises above any one or multiple recognition method and identifies.
Wherein, adopt any one categorizing system as decision tree or SVM (SupportVectorMachine, support vector machine) etc. by the exercise data obtained by sensor and obtain from the communication data of user movable information classification, be converted to the characteristic of user.
The characteristic of user comprises: type of sports, physical level, exercise intensity, the frequency, shopping characteristic, geographic position and time etc.
Wherein, within the schedule time, the exercise data obtained by sensor and the movable information obtained from the communication data of user can be analyzed, identify the type of sports of user.Such as: first obtain exercise data, after certain interval of time, then the movable information in obtaining communication data; Or the movable information in first obtaining communication data, after certain interval of time, then obtain exercise data.For this situation, just need preset regular hour scope, carry out accurately and effectively identifying.
If obtain the movable information institute interlude in exercise data and obtaining communication data, exceed predetermined time scope, type of sports that is that can do user according to the movable information in the exercise data of acquisition or the communication data of acquisition separately or that be about to do identifies.
Wherein, for saving cost, initial global motion identification storehouse is an initial training storehouse, comprises some by the artificial type of sports of generation, the training data corresponding to sensor characteristic.
For improving constantly the accuracy identifying type of sports, for the problem of user's individual difference, the present embodiment terminal device adopts personalized motion identification, namely according to the kinetic characteristic of user, sets up the personalized identification storehouse of user.The effect in personalized identification storehouse shows as 2 points, and one is the type of sports identifying user according to personalized identification storehouse; The data in user individual identification storehouse are sent to server for terminal device by two, and server, according to the personalized identification storehouse received, upgrades its global motion identification storehouse.
The meaning upgrading global motion identification storehouse is, according to the user personality in global motion identification storehouse, and the recognizer meeting reference customized information of server, as: the difference on exercise intensity between individuality, can adjust according to the characteristic of user.
It is noted that personalized identification storehouse has self-learning ability, automatically updated.
Wherein, the self-learning capability in personalized identification storehouse shows as: on the one hand, the type of sports of the movable information in the sensor movement data of high reliability, communication data and identification is extended to personalized identification storehouse automatically, wherein, the concrete algorithm that expands can adopt bootstrapping algorithm or other Weakly supervised pattern algorithms; On the other hand, under the prerequisite of few interference as far as possible, by carrying out message exchange with user, issuing user by uncertain recognition result and confirm or correct, by the information expansion of user feedback to personalized identification storehouse.Wherein, uncertain recognition result is manually marked, and iteration, extend to personalized identification storehouse to make it.
S13, based on motion association information and type of sports, to user's recommendation information.
Put into and can reflect the genuine property of user to the motion association information in personalized identification storehouse and type of sports, for user personality, recommend targetedly.Such as: recommend the people of similar user personality and move to relevant other of motion, commodity, shopping etc.; For motion needed for consumables, reminds and recommend consumables type, shopping etc.; Undesirable for motion index, remind and recommend amendatory mode of motion.
In the present embodiment, for making recommendation have more specific aim, also receiving the information of other users from server, comprising personalized identification storehouse and some online information of other users.
Wherein, the present embodiment terminal device to the information that user specifically recommends comprise following any one or multiple:
A. the action message of type of sports;
B. the merchandise news of type of sports;
C. the exercise suggestion information of type of sports;
D. there is with user the information of other users in same personalized identification storehouse.
In the present embodiment, due to diversity and the isomerism of recommendation information, adopt the proposed algorithm of relation between special disposal isomeric data and isomeric data.
Isomeric data comprises: multiple data such as sports category, exercise intensity, run duration, athletic venue, shopping-time, shopping site, purchase commodity and user itself.
Proposed algorithm for isomeric data is specially, and first carries out unified Modeling to the relation between two between different pieces of information, by calculating the holotopy between data, recommends according to the maximally related data point of this user.Refer to Fig. 2 and Fig. 3, Fig. 2 is the diagram form of isomeric data relationship modeling of the present invention, and Fig. 3 is the matrix form of isomeric data relationship modeling of the present invention.Wherein, 1,2,3,4,5 is node, represents different data, R
1, R
2, R
3relations different between representation node.
In sum, the present embodiment identifies the method for carrying out information recommendation based on motion, tool has the following advantages:
A. the multi-modal information of many sensor acquisitions can improve the accuracy distinguishing motion, shows as: if do not have the change of height above sea level, is just difficult to differentiation and takes a walk and climb the mountain; If there is no upper limbs shaking amplitude information, be difficult to distinguish run and by bike; If there is no wrist vibration amplitude information, be difficult to distinguish shuttlecock and basketball; If there is no hydraulic pressure information, be difficult to distinguish swimming; If there is no locating information, be difficult to distinguish Overwater powered boat and the motion of land bicycle; If there is no locating information, motion that very difficult differentiation is run in the street and play soccer in court.
B. multi-modal information combines with the movable information in the communication data of user, can eliminate the unfavorable factor of some sensors, improves the accuracy of type of sports identification simultaneously.The unfavorable factor of sensor comprises: the sensor information of some motion compares to be obscured, and the feature of Yoga is not obvious, the disappearance etc. of sensor information.
C. the self-learning capability in personalized identification storehouse can optimize motion recognition effect gradually.Include supervision self-learning method and without supervision self-learning method.Nothing supervision self-learning method is that motion higher for user discrimination degree is added personalized identification storehouse.Supervision self-learning method is had to be when leaving user as far as possible alone, uncertain identifying information being issued user, is judged by user, then the information of user feedback is added personalized identification storehouse.
D. personalized recommendation, multiple recommendation is carried out for user personality.
Refer to Fig. 4, Fig. 4 the present invention is based on motion to identify the block diagram carrying out a kind of specific embodiment of method of information recommendation, elaborates the method for carrying out information recommendation based on motion identification shown in block diagram below.
One day, by bike, turn on sensor also records data to A.Wherein, sensor comprises passometer, gyroscope, altitudinal instrument and heart rate sensor.The data of sensor record comprise that upper limbs is static, lower limb faster circular motion, heart rate are fast.After terminal device receives the data of sensor record, the motion identifying A may be by bike.
A is in process by bike, and spontaneous some kinesthesias of sharing are subject to, as: by bike, send short messages " walk, afternoon and A Hai go difficult to understand gloomyly to ride two circles " to companion.By bike, send out letter micro-to friend, write " the current activity of XX bicycle club organization is very reliable ".By bike, send out letter micro-to friend, say " today has attempted extremely flying, and very stimulates ".Wherein, voice messaging can be converted into word by speech recognition.And A by bike before, electronics buys some drinks.The movable information obtained from the communication data of user based on natural language processing technique comprises: sports category " by bike ", place " Olympic Forest Park ", and A is delithted with cycling motion, the article of purchase, buys the place of article.
Due to assisting of the movable information in communication data, the possibility by bike that terminal device is identified is larger.Now, the reliability of this user personality is higher by bike, can automatically extend to personalized identification storehouse, obtains the sensing data that real A is corresponding by bike.
Another day, A carries out badminton, opens sensor simultaneously, and record exercise data, terminal device identifies type of sports automatically.A, in motion process, does not share any information.Owing to not having the auxiliary of communication data, and A plays ball, action is lack of standardization, the time is short, makes the badminton possibility that identifies lower.According to the self-learning capability in personalized identification storehouse, whether inquiry A is badminton, and A is fed back to "Yes".Now, the reliability of this user personality of badminton is higher, can expand to personalized identification storehouse, obtains real A and to play badminton corresponding sensing data.
A, after repeatedly moving and doing shopping, forms following user personality:
Motion: by bike 0.6, shuttlecock 0.2, climbs the mountain 0.1, takes a walk 0.1.
Shopping: drinks, racket, running shoes.
Activity venue: Changping, Haidian.
Sum up: go weekend to play badminton, at ordinary times body-building by bike.
Based on above-mentioned user personality, for the different motion scene of A, recommend targetedly.Wherein, in recommendation process, also can with reference to the factor such as weather, sales promotion information.
A to somewhere, terminal device from trend its recommend near bicycle articles for use shop, or Badminton Stadium, and get rid of other interfere informations.
Terminal device judges that A may be finished the shuttlecock bought last time, recommends whether this supplementary shuttlecock to it.
A suffers from and finds friend with a common goal, but the head portrait of matchmaker or brief introduction are all not too true, and according to the characteristic of A and the characteristic of other users, terminal device can recommend the people really had similar tastes and interests.
Which motion A does not know, terminal device is according to other user movement information with it with similar hobby, athletic venue, and active is to its motion that recommendation is evaluated, temperature is high and place.
Terminal device detects the posture of A when playing badminton not too specification, recommends the note of some applicable A.
Refer to Fig. 5, Fig. 5 the present invention is based on motion to identify the structural representation carrying out a kind of embodiment of device of information recommendation, as shown in Figure 5, comprising: acquisition module 21, identification module 22 and recommending module 23.
In the present embodiment, acquisition module 21 is for obtaining the motion association information of user; Identification module 22, for according to motion association information, identifies the type of sports of user; Recommending module 23 for based on motion association information and type of sports, to user's recommendation information.
Wherein, acquisition module 21 comprises for the motion association information obtained: the exercise data obtained by sensor and/or the movable information obtained from the communication data of user.
Sensor comprise accelerometer, direction sensor, three-axis gyroscope, range sensor, light sensor, triangle polyester fibre, GPS, altitudinal instrument, body temperature trans, heart rate sensor, blood pressure monitor one or more.
Wherein, the device of the present embodiment is integrated in terminal device embodiment illustrated in fig. 1, realizes the function of terminal device embodiment illustrated in fig. 1, recommending module 23 for the information of specifically recommending to user comprise following any one or multiple:
A. the action message of type of sports;
B. the merchandise news of type of sports;
C. the exercise suggestion information of type of sports;
D. there is with user the information of other users in same personalized identification storehouse.
It is pointed out that the difference according to identification module 22 recognition method, the present embodiment device can be arranged at intelligent terminal in concrete application, also can be provided separately in terminal device and server.Wherein, acquisition module 21 and recommending module 23 are arranged in terminal device, the concrete set-up mode of identification module 22 and function as follows:
A. identification module 22 is arranged at terminal device, and it is according to the type of sports of relevant information identification user.
B. identification module 22 is arranged at server, and it is according to the type of sports of relevant information identification user.
C. identification module 22 is arranged at terminal device and server respectively, and server comprehensively identifies according to the preliminary identification of terminal device.
Wherein, in B, C set-up mode, the type of sports that server identifies need feed back to the recommending module 23 of terminal device.
Should be appreciated that various concrete set-up mode and the function distribution of above-mentioned identification module 22, all should be considered as the accommodation not departing from the principle of the invention, this accommodation should be considered as falling into protection scope of the present invention.In citing below, for the ease of understanding the present invention, few examples by being arranged at terminal device with identification module 22, it is illustrated according to the type of sports of relevant information identification user.
The present embodiment identify that the device carrying out information recommendation can obtain multi-modal sensor movement data based on motion, improve the accuracy identifying type of sports, and in identifying, by the movable information in user communication data, the accuracy identifying type of sports can also be improved further.By motion association information and type of sports, recommend pointed diversified information to user.
Refer to Fig. 6, Fig. 6 the present invention is based on the structural representation that motion identifies the another kind of embodiment of the device carrying out information recommendation, as shown in Figure 6, comprising: acquisition module 31, identification module 32, recommending module 33, set up module 34, sending module 35 and receiver module 36.
The function of above-mentioned each module is as follows:
Acquisition module 31 is for obtaining the motion association information of user; Identification module 32, for according to described motion association information, identifies the type of sports of described user; Recommending module 33 for based on described motion association information and described type of sports, to described user's recommendation information.
Set up module 34 for the kinetic characteristic according to user, set up the personalized identification storehouse of user.Wherein, the user personality put into personalized identification storehouse is motion association information and the type of sports of the high or user feedback of reliability, can reflect the genuine property of user.User feedback is the result that the present embodiment device and user carry out message exchange.
Sending module 35 is for transmitting the personalized identification storehouse of user to server, server, according to the personalized identification storehouse received, upgrades global motion identification storehouse.
Receiver module 36, for receiving the information of other users from server, comprises movable information and shopping information etc.
Wherein, the device of the present embodiment is integrated in terminal device embodiment illustrated in fig. 1, realizes the function of terminal device embodiment illustrated in fig. 1.
In the present embodiment, motion association information comprises following any one or two kinds:
A. by exercise data that sensor obtains.
Sensor comprise accelerometer, direction sensor, three-axis gyroscope, range sensor, light sensor, triangle polyester fibre, GPS, altitudinal instrument, body temperature trans, heart rate sensor, blood pressure monitor one or more.
Wherein, sensor recorded data is sent to the device of the present embodiment.
B. the movable information obtained from the communication data of user.
Acquisition module 31 for the movable information obtained from the communication data of user comprise following any one or multiple:
A. the movable information of acquisition module 31 for obtaining from the voice messaging of user.
B. the movable information of acquisition module 31 for obtaining from the Word message of user.
C. the movable information of acquisition module 31 for obtaining from the pictorial information of user.
D. the movable information of acquisition module 31 for obtaining in the theme of accessing from the network of user.
The theme of network access comprises on-line purchase information, as: article, time, expense, address etc.
The movable information obtained in communication data also comprises market shopping information, as: article, time, expense, trade company address etc.
In the present embodiment, identification module 32 receives the data in global motion identification storehouse from server, according to the data in global motion identification storehouse, analyze the exercise data obtained by sensor and the movable information obtained from the communication data of user, identify the type of sports of user.
Wherein, initial global motion identification storehouse is an initial training storehouse, comprises some by the artificial training data generated.
Wherein, identification module 32 within the schedule time, can analyze the exercise data obtained by sensor and the movable information obtained from the communication data of user, identifies the type of sports of user.
In the present embodiment, personalized identification storehouse is open-ended state, constantly can expand user personality, and then makes identification module 32 have recognition effect more accurately.
In the present embodiment, recommending module 33 comprises following any one or much information to the information that user recommends:
A. the action message of type of sports;
B. the merchandise news of type of sports;
C. the exercise suggestion information of type of sports;
D. there is with user the information of other users in same personalized identification storehouse.
Elaborate the identification recommendation process of the present embodiment device below.
First acquisition module 31 obtains the motion association information of user, and identification module 32, according to the data in the global motion identification storehouse received from server, analyzes motion association information, identifies the type of sports of user.Identification module 32 is in identifying, the type of sports that reliability is high can be identified, set up module 34 and set up personalized identification storehouse based on the motion association information of the high type of sports of this reliability and correspondence, and set up module 34 the motion association information of type of sports low for reliability and correspondence and user are carried out alternately, and by the information expansion of user feedback to personalized identification storehouse.
Sending module 35 sends personalized identification storehouse to server, and global motion identification storehouse is upgraded.The information of other users that recommending module 33 receives according to the type of sports of motion association information, identification and receiver module 36, to user's recommendation information.Wherein, the motion association information of recommending module 33 bases, the type of sports of identification comprise the user personality in personalized identification storehouse.
The present embodiment identifies the device carrying out information recommendation based on motion, adopt multi-modal sensor information, and combine with the communication data of user, can improve the accuracy identifying user movement type.
In identifying, the present embodiment identifies the device carrying out information recommendation based on motion, for the difference of individual movement data, builds personalized identification storehouse, improve the accuracy of type of sports identification further, and personalized identification storehouse has the ability of lifelong self study.
The present embodiment identifies the device carrying out information recommendation based on motion, based on the recommendation of real user characteristic, can improve validity and the authenticity of recommendation.
Those skilled in the art of the present technique are appreciated that the one or more equipment that the present invention includes and relate to for performing in operation described in the application.These equipment for required object and specialized designs and manufacture, or also can comprise the known device in multi-purpose computer.These equipment have storage computer program within it, and these computer programs optionally activate or reconstruct.Such computer program can be stored in equipment (such as, computing machine) in computer-readable recording medium or be stored in and be suitable for store electrons instruction and be coupled in the medium of any type of bus respectively, described computer-readable medium includes but not limited to that the dish of any type (comprises floppy disk, hard disk, CD, CD-ROM, and magneto-optic disk), ROM (Read-OnlyMemory, ROM (read-only memory)), RAM (RandomAccessMemory, storer immediately), EPROM (ErasableProgrammableRead-OnlyMemory, Erarable Programmable Read only Memory), EEPROM (ElectricallyErasableProgrammableRead-OnlyMemory, EEPROM (Electrically Erasable Programmable Read Only Memo)), flash memory, magnetic card or light card.Namely, computer-readable recording medium comprises and being stored or any medium of transmission information with the form that can read by equipment (such as, computing machine).
Those skilled in the art of the present technique are appreciated that the combination that can realize the frame in each frame in these structural drawing and/or block diagram and/or flow graph and these structural drawing and/or block diagram and/or flow graph with computer program instructions.Those skilled in the art of the present technique are appreciated that, the processor that these computer program instructions can be supplied to multi-purpose computer, special purpose computer or other programmable data disposal routes realizes, thus is performed the scheme of specifying in the frame of structural drawing disclosed by the invention and/or block diagram and/or flow graph or multiple frame by the processor of computing machine or other programmable data disposal routes.
Those skilled in the art of the present technique are appreciated that various operations, method, the step in flow process, measure, the scheme discussed in the present invention can be replaced, changes, combines or delete.Further, there is various operations, method, other steps in flow process, measure, the scheme discussed in the present invention also can be replaced, change, reset, decompose, combine or delete.Further, of the prior art have also can be replaced with the step in operation various disclosed in the present invention, method, flow process, measure, scheme, changed, reset, decomposed, combined or deleted.
The above is only some embodiments of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (22)
1. identify a method of carrying out information recommendation based on motion, it is characterized in that, comprise the following steps:
Obtain the motion association information of user;
According to described motion association information, identify the type of sports of described user;
Based on described motion association information and described type of sports, to described user's recommendation information.
2. method of carrying out information recommendation based on motion identification according to claim 1, it is characterized in that, motion association information comprises:
By the exercise data that sensor obtains; And/or,
The movable information obtained from the communication data of user.
3. according to claim 2 identification based on motion carries out the method for information recommendation, it is characterized in that, described sensor comprise following any one or multiple:
Accelerometer, direction sensor, three-axis gyroscope, range sensor, light sensor, triangle polyester fibre, GPS, altitudinal instrument, body temperature trans, heart rate sensor, blood pressure monitor.
4. according to claim 2 identification based on motion carries out the method for information recommendation, it is characterized in that, the movable information obtained from the communication data of user comprise following any one or multiple:
The movable information obtained from the voice messaging of user;
The movable information obtained from the Word message of user;
The movable information obtained from the pictorial information of user;
The movable information obtained from the theme that the network of user is accessed.
5. method of carrying out information recommendation based on motion identification according to claim 2, is characterized in that, according to described motion association information, identify the type of sports of described user, comprising:
Receive the data in global motion identification storehouse from server, according to the data in described global motion identification storehouse, analyze the exercise data obtained by sensor and the movable information obtained from the communication data of user, identify the type of sports of described user.
6. method of carrying out information recommendation based on motion identification according to claim 5, is characterized in that, also comprise:
Within the schedule time, analyze the exercise data obtained by sensor and the movable information obtained from the communication data of user, identify the type of sports of described user.
7. method of carrying out information recommendation based on motion identification according to claim 5, is characterized in that, also comprise:
According to the kinetic characteristic of described user, set up the personalized identification storehouse of described user.
8. method of carrying out information recommendation based on motion identification according to claim 7, is characterized in that, also comprise:
When setting up the personalized identification storehouse of described user, by carrying out message exchange with described user, to determine the type of sports of current identification.
9. method of carrying out information recommendation based on motion identification according to claim 8, is characterized in that, also comprise:
Transmit the personalized identification storehouse of described user to server, described server, according to the personalized identification storehouse received, upgrades global motion identification storehouse.
10. method of carrying out information recommendation based on motion identification according to claim 7, is characterized in that, also comprise:
The information of other users is received from server.
11. described identify the method for carrying out information recommendation based on motion according to claim 7 to 10 is one of any, it is characterized in that, to described user's recommendation information, comprise following any one or much information:
The action message of described type of sports;
The merchandise news of described type of sports;
The exercise suggestion information of described type of sports;
There is with described user the information of other users in same personalized identification storehouse.
12. 1 kinds identify the device carrying out information recommendation, it is characterized in that, comprising based on motion:
Acquisition module, for obtaining the motion association information of user;
Identification module, for according to described motion association information, identifies the type of sports of described user;
Recommending module, for based on described motion association information and described type of sports, to described user's recommendation information.
13. devices carrying out information recommendation based on motion identification according to claim 12, it is characterized in that, the motion association information that described acquisition module obtains comprises:
By the exercise data that sensor obtains; And/or,
The movable information obtained from the communication data of user.
14. according to claim 13 identifications based on motion carry out the devices of information recommendation, it is characterized in that, described sensor comprise following any one or multiple:
Accelerometer, direction sensor, three-axis gyroscope, range sensor, light sensor, triangle polyester fibre, GPS, altitudinal instrument, body temperature trans, heart rate sensor, blood pressure monitor.
15. according to claim 13 identifications based on motion carry out the devices of information recommendation, it is characterized in that, the movable information that described acquisition module is used for obtaining from the communication data of user comprise following any one or multiple:
Described acquisition module is used for the movable information obtained from the voice messaging of user;
Described acquisition module is used for the movable information obtained from the Word message of user;
Described acquisition module is used for the movable information obtained from the pictorial information of user;
Described acquisition module is used for the movable information obtained from the theme that the network of user is accessed.
16. devices carrying out information recommendation based on motion identification according to claim 13, it is characterized in that, described identification module is further used for:
Receive the data in global motion identification storehouse from server, according to the data in described global motion identification storehouse, analyze the exercise data obtained by sensor and the movable information obtained from the communication data of user, identify the type of sports of described user.
17. devices carrying out information recommendation based on motion identification according to claim 16, it is characterized in that, described identification module is further used for:
Within the schedule time, analyze the exercise data obtained by sensor and the movable information obtained from the communication data of user, identify the type of sports of described user.
18. devices carrying out information recommendation based on motion identification according to claim 16, is characterized in that, also comprise:
Set up module, for the kinetic characteristic according to described user, set up the personalized identification storehouse of described user.
19. devices carrying out information recommendation based on motion identification according to claim 18, it is characterized in that, described module of setting up is further used for:
By carrying out message exchange with described user, to set up the personalized identification storehouse of described user.
20. devices carrying out information recommendation based on motion identification according to claim 19, is characterized in that, also comprise:
Sending module, for transmitting the personalized identification storehouse of described user to server, described server, according to the personalized identification storehouse received, upgrades global motion identification storehouse.
21. devices carrying out information recommendation based on motion identification according to claim 18, is characterized in that, also comprise:
Receiver module, for receiving the information of other users from server.
22. one of any described identify based on motion the device carrying out information recommendation according to claim 18 to 21, and it is characterized in that, described recommending module is used for described user's recommendation information, comprise following any one or much information:
The action message of described type of sports;
The merchandise news of described type of sports;
The exercise suggestion information of described type of sports;
There is with described user the information of other users in same personalized identification storehouse.
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| CN201410163303.5A CN105095214A (en) | 2014-04-22 | 2014-04-22 | Method and device for information recommendation based on motion identification |
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| CN201410163303.5A CN105095214A (en) | 2014-04-22 | 2014-04-22 | Method and device for information recommendation based on motion identification |
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